Latent

Your progress

Progress is stored in this browser only. Clearing site data or switching browsers starts fresh. Questions you have answered come back for spaced review.

AI from zero
  1. 1What is AI, really?
  2. 2Turning things into numbers
  3. 3Getting less wrong
  4. 4The artificial neuron
  5. 5Networks of neurons
  6. 6How a chatbot writes
  7. 7What AI gets wrong
How machines learn
  1. 1The learning loop
  2. 2Linear regression and loss
  3. 3Gradient descent
  4. 4Better optimizers
  5. 5Classification and probability
  6. 6Overfitting and generalization
  7. 7Measuring a classifier
  8. 8Finding groups: k-means
Neural networks
  1. 1Layers are matrix multiplications
  2. 2Why nonlinearity matters
  3. 3Backpropagation
  4. 4Training a network
  5. 5Convolutions
  6. 6Reading handwriting
Language as vectors
  1. 1Tokens
  2. 2Vectors and similarity
  3. 3Word embeddings
  4. 4Seeing high dimensions
  5. 5Search by meaning
  6. 6Retrieval-augmented generation
Transformers and LLMs
  1. 1Predicting the next token
  2. 2Attention, step by step
  3. 3Many heads and the causal mask
  4. 4Where words are
  5. 5The transformer block
  6. 6Inside a real language model
  7. 7How LLMs are trained
  8. 8Generating fast: the KV cache
Frontiers
  1. 1Diffusion: from noise to data
  2. 2One space for images and text
  3. 3Mixture of experts
  4. 4Thinking longer
  5. 5Models that use tools

Try "embedding", "softmax", "overfitting", or "backpropagation".